Using AI to remove entry-level positions may trim near-term payroll, but it can also leave businesses with fewer people ready to take on experienced roles later. The more durable approach is to automate routine work while giving junior employees room to build judgment, customer skills and knowledge of how the organization operates.
That distinction matters because AI can produce research, summaries and early drafts, tasks often assigned to interns or new hires. But a role is more than its task list. Junior employees learn through practice, contribute observations from outside established routines and, over time, can become the managers a company needs. Replacing the position wholesale risks losing those benefits along with the work that automation can absorb.
Short-term savings can create a longer-term staffing gap
The financial case for replacing a junior employee with software is easy to see in a current-year budget. An AI tool may cost less than a salary, and it doesn’t require the same onboarding time. Yet that comparison captures only immediate expense. It leaves out the future cost of finding experienced talent when the internal pipeline has been cut back.
Every senior employee began somewhere. Lucy Beaumont, global SVP of product at SHL, told CNBC that entry-level work gives people a place to make early mistakes and learn how a business functions. Those experiences build familiarity with customers, processes and decision-making—knowledge that’s difficult to acquire all at once when someone is hired into a senior position.
If an organization stops developing early-career employees, it may later have to compete for experienced hires from elsewhere or promote people who haven’t had the chance to learn the basics. Neither outcome is guaranteed to be more efficient than keeping a deliberate training path in place. A payroll reduction today can shift costs into recruiting, onboarding and management time later.
The employment data in ZipRecruiter’s 2026 graduate report points to another part of the issue: 81.6% of graduates who worked during college are employed, compared with 40.7% of those who didn’t. The figures don’t establish that work experience alone explains the difference, but they underline how closely early opportunities and later employment can be linked. When employers demand experience while removing routes to gain it, graduates can get caught in a cycle that serves neither side well.
New hires can spot friction that insiders accept
Experienced teams develop routines because routines help work move. Over time, though, familiarity can make an awkward process seem inevitable. Someone new may notice steps that slow down onboarding, customer interactions that create needless friction or product features that people rarely use. Asking why a process works the way it does can surface improvements that established teams have stopped looking for.
That contribution isn’t automatic. New employees need a safe and useful way to share what they see, and managers need to listen closely enough to distinguish an actionable observation from a first impression. When feedback leads to visible changes, junior staff learn that they can influence the business. They also gain context about why a process exists and how decisions are made.
Natalie Ruiz, CEO of AnswerConnect, describes joining the company in 2006 as a temp-to-hire employee with little experience. The founder asked how things were going and took her feedback about workplace pain points seriously. Ruiz says she saw changes soon afterward, and that experience encouraged her to stay, grow within the organization and continue contributing to change. Her account reflects a broader management point: early responsibility and a response to employee input can help build commitment alongside practical knowledge.
Put AI to work inside junior roles
Keeping entry-level positions doesn’t require assigning people work that software can handle more quickly. Start by reviewing the activities junior employees actually perform in a typical week. Repetitive work that can be automated is a candidate for AI; the time freed up can then go toward tasks that build useful experience.
Those tasks might include speaking with customers, investigating problems and making decisions with appropriate support. These activities expose new employees to the consequences of their work and teach them to weigh context, not just complete a checklist. AI can assist with preparation or routine steps, while a person remains responsible for understanding the situation and deciding what to do.
Employees also need to learn how to use AI with care. They should know how to check its output, recognize when an answer may be wrong and identify when a person needs to stay involved. That capability is more valuable when it develops through real work, with experienced colleagues available to explain what the tool missed and why.
Training needs to be part of the job from the start. Shared projects, working sessions with experienced employees and paid time for structured learning give junior hires opportunities to build skills rather than leaving them to figure everything out alone. Mentoring can benefit senior staff, too: explaining how a task is done often exposes assumptions or steps that could be improved.
Make feedback part of the operating routine
Managers can make it easier for new employees to contribute by asking for observations early and following up on them. One-on-ones are a natural place to ask what feels confusing, slow or difficult to navigate. Teams can also invite written feedback, giving employees another route to raise concerns about a process or customer experience.
- Ask new hires to flag confusing or time-consuming steps from their first days on the job.
- Make space in regular conversations for questions about how work gets done and why.
- When feedback leads to a change, tell employees what changed and how their input helped.
The follow-through matters. If employees repeatedly offer observations and hear nothing back, they have little reason to keep looking for ways to improve the work. A visible response can encourage useful feedback while helping managers test whether a process makes sense to the people encountering it for the first time.
Automation is also a workforce decision
AI will change how teams allocate work. The management choice is what to do with the capacity those tools create: reduce the number of junior roles, or use some of the savings and time to develop people who can take on greater responsibility. That decision affects more than current staffing expense. It shapes the supply of future managers and the range of perspectives brought into day-to-day operations.
For employers, the practical test is whether AI makes an entry-level role more valuable as a learning position. If software handles repetitive tasks while junior employees gain customer experience, problem-solving ability and sound judgment, automation can support both productivity and development. Companies that preserve that path will be better placed to build the skills their next generation of leaders needs.
